3 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
From Challenge to Change: Design Principles for AI Transformations
Theocharis Tavantzis, Stefano Lambiase, Daniel Russo +1
The rapid rise of Artificial Intelligence (AI) is reshaping Software Engineering (SE), creating new opportunities while introducing human-centered challenges. Although prior work n…
Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Sebastian Baltes, Florian Angermeir, Chetan Arora +19
Large Language Models (LLMs) are widely used in software engineering (SE) research and practice, yet their non-determinism, opaque training data, and rapidly evolving models threat…
AI University: An LLM-Powered Learning Assistant for Engineering---A Finite Element Method Case Study
Mostafa Faghih Shojaei, Rahul Gulati, Benjamin A. Jasperson +6
We introduce AI University (AI-U), a flexible framework for AI-driven course content delivery that adapts to a course's instructional style. AI-U combines a fine-tuned large langua…